Text Classification
Transformers
PyTorch
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use sachin19566/intent-recog with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sachin19566/intent-recog with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="sachin19566/intent-recog")# Load model directly from transformers import AutoTokenizer, IntentClassifier tokenizer = AutoTokenizer.from_pretrained("sachin19566/intent-recog") model = IntentClassifier.from_pretrained("sachin19566/intent-recog") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#4 opened over 1 year ago
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SFconvertbot
Adding `safetensors` variant of this model
#3 opened over 2 years ago
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Adding `safetensors` variant of this model
#2 opened over 2 years ago
by
SFconvertbot
Adding `safetensors` variant of this model
#1 opened over 2 years ago
by
SFconvertbot